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Article
Peer-Review Record

Hazard Assessment of Earthquake Disaster Chains Based on a Bayesian Network Model and ArcGIS

ISPRS Int. J. Geo-Inf. 2019, 8(5), 210; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi8050210
by Lina Han 1,2, Jiquan Zhang 1,2,*, Yichen Zhang 3, Qing Ma 1,4, Si Alu 1 and Qiuling Lang 5
Reviewer 1: Anonymous
Reviewer 2: Anonymous
ISPRS Int. J. Geo-Inf. 2019, 8(5), 210; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi8050210
Submission received: 11 April 2019 / Revised: 20 April 2019 / Accepted: 4 May 2019 / Published: 7 May 2019
(This article belongs to the Special Issue Geomatics and Geo-Information in Earthquake Studies)

Round 1

Reviewer 1 Report

I sincerery think that authors have made a great efforts to improve the works and it seems to me that now is much more readable and comprehensible, both in the introductory section where main concepts about disaster chains are better defined, and in the methodological section where some research steps are clarify. Just as a potential improvement, some of the resulted maps could be better designed, although I don´t think this is a main concern.

Author Response

Thanks for your valuable comments on our manuscript, entitled “Hazard Assessment of Earthquake Disaster Chains Based on a Bayesian Network Model and ArcGIS” (ID: IJGI-493459). Your comments are of great assistance to us for improving and revising our manuscript so as to be acceptable for publication. We have tried to revise and improve the manuscript in line with the suggestions made by you and other reviewers. Please check the revised manuscript in the attachment. If the revise is not good enough, please give us one more chance to make better.

Author Response File: Author Response.docx

Reviewer 2 Report

The manuscript has been improved w.r. to the initial one; 

however it needs a lot of further work. 

Below you will find few suggestions. 


The long sentence from line 36 to line 42 needs to be simplified.


L.54

Frequent disaster events ....

I suggest:

Frequently, disaster events ....


L.58

For example, the effect of ... have revealed ...

>>>>>

For example, the effects of ... have revealed ...


L.62

... has been a more serious topic ...

I suggest:

... has been a relevant topic ...


L.70

... and the chain mechanism of the earthquake disaster chain while ...

I suggest:

... and the earthquake disaster chain mechanism, while...


L.72 (an unreadable sentence)

Chen proposed a Spatio-temporal evolution process Multi-level description 

Framework for a Disaster Chain (STMFDC) for complex disaster chain evolution process. 


L.150

I found the following sentence incomprehensible

"Each event has a trigger state to indicate whether the event occurred; 

thus, when some key event state and the state of the disaster body exceeds a certain threshold value; 

the event is categorized in the “occurrence” state."


L.160

SPOT5 satellite data with a resolution of 2.5 meters (with a resolution of 2.5 meters

in the panchromatic ..

change in:

SPOT5 satellite data (with a resolution of 2.5 meters in the panchromatic ...


L.214 (wrong)

It is important is to consider the chain probability ...


L.245

The raster reclassification tool in ArcGIS spatial analysis is used to classify ...

>>>

The raster reclassification tool in ArcGIS spatial analysis was used to classify


L.322

This study presents a volcanic earthquake disaster chain hazard assessment 

model in which the BN model was used ...

>>>

This study presented a volcanic earthquake disaster chain hazard assessment 

model in which the BN model was used ...


Fig.1

Construction of disaster chain conditioning ???


Author Response

Thanks for your valuable comments on our manuscript, entitled “Hazard Assessment of Earthquake Disaster Chains Based on a Bayesian Network Model and ArcGIS” (ID: IJGI-493459). Your comments are of great assistance to us for improving and revising our manuscript so as to be acceptable for publication. We have tried to revise and improve the manuscript in line with the suggestions made by you and other reviewers and have corrected the language mistakes. Please check the revised manuscript in the attachment. If the revise is not good enough, please give us one more chance to make better.

Author Response File: Author Response.docx

This manuscript is a resubmission of an earlier submission. The following is a list of the peer review reports and author responses from that submission.


Round 1

Reviewer 1 Report

A PDF file with comments and suggestion has been included.

The work deals with a topic of great importance, although it´s a quite complex topic too. So it is quite necessary to intesely improve the introductory section, which it has been reduced to several references. A clear definition on DISASTER CHAIN is needed, and may be even included a taxonomy or classification of this sort of chains. Some references:

https://0-www-tandfonline-com.brum.beds.ac.uk/doi/full/10.1080/10807039.2017.1412820 

http://www.sciencepublishinggroup.com/journal/paperinfo?journalid=229&doi=10.11648/j.ajce.20170506.24


Main concern is related to the methology section. A much more clear description and explanation is needed.

Great difficulties are found to read some parts of the work because of the employed english.

Comments for author File: Comments.pdf

Reviewer 2 Report

There are many talks of globals in the introduction, but since the actual analysis is a local problem, there is a slight discomfort, but the contents and results are interesting.


Reviewer 3 Report

The manuscript has serious English problems. 

As a consequence, it was very difficult to end the reading of the Introduction.

I'll be happy to read a new version of the current manuscript that overcomes this issue.


Examples of sentences hard to follow are listed below.


L46 --------

For example, the effect of Chile earthquake in 2010 and the Japan 

earthquake in 46 2011 have shown that nuclear power plants would be exposure to extreme events eventually leading to a series of disasters 

such as nuclear leak, tsunami and fire, has had an unprecedented impact 

on the country.


L49 -------- 

Recently years the performance of disaster chains induced by earthquake is more serious.


L57 --------

Tian [11] summarized a series of the earthquake-induced secondary disasters types and  the chain mechanism of earthquake disaster chain.


L63 -------

Based on the above research methods, earthquake disasters 

chains probability has hardly any research.


L66 ---------

Bayesian Networks (BNs) can deal with the problem well owing 

to the capability of combining the probabilistic ways with clear diagrams 

that encrypt causality between variables and BNs model can offer 

a frame for dealing with uncertainty 

and complexity in earthquake disaster chains systems


L75 ---------

In this paper, through collect field survey data and remote sensing interpretation data of the study area, refer to Wenchuan earthquake disaster chain types and study area’s topography and geomorphology, select earthquake-collapse-landslide-debris  flow disaster chain as object.


L78 -------------

According to disaster risk theory, constructed a hazard assessment model based on BNs and ArcGIS, quantitatively evaluated the hazard of earthquake disaster chains, 

mapped the hazard zoning map, and provided reference for early warning and 

prevention of disaster chain.


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